XX IEEE International Conference on Soft Computing and Measurements (SCM)

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XX IEEE International Conference on Soft Computing and Measurements (SCM)

IEEE, 2017.

Models for respondents' behavior rate estimate: Bayesian Network structure synthesis

Suvorova A., , in: XX IEEE International Conference on Soft Computing and Measurements (SCM).: IEEE, 2017. P. 87–89.

The paper described the structure comparison of Bayesian Belief Network models for individual behavior rate estimate based on data about the last episodes of that behavior. We compared two types of network structures: expert-based and data-based. For model learning and evaluation we used data from social network VKontakte about episodes of publishing posts. The sample ...

Added: October 2, 2018

Priority areas: IT and mathematics

Language: English

Keywords: soft computing

XX IEEE International Conference on Soft Computing and Measurements (SCM)

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026

Using predefined vector systems to speed up neural network multimillion class classification

Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.

Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...

Added: April 2, 2026

Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection

Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.

Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...

Added: January 15, 2026

Implementing Transport Coding in OMNeT++ for Message Delay Reduction

Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.

Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...

Added: December 24, 2025

Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.

Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...

Added: December 1, 2025

Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning

Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.

We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...

Added: November 21, 2025

Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.

Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.

The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...

Added: November 9, 2025

Diffusion on language model embeddings for protein sequence generation

Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.

Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...

Added: October 5, 2025

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation

Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.

Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...

Added: October 5, 2025

A Feature Engineering Framework for Computer Vision Based on Topological Data Analysis

Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.

Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...

Added: September 23, 2025

On the construction of frieze patterns from partitions of convex polygons by nonintersecting diagonals

Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.

We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon by not intersecting diagonals. ...

Added: September 17, 2025

9th International Conference on Computers Communications and Control (ICCCC) 2022

Springer, 2023.

The book contains 37 papers presented at the ninth edition of the International Conference of Computers, Communications and Control—ICCCC-2022 held in Oradea and Băile Felix, Romania. A balanced selection of both methodological and application-oriented papers has been made to reflect several recent worldwide trends and results. The book is organized into five sections: a) integrated solutions in computer-based ...

Added: September 29, 2022

Selected Contributions to the 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021)

[б.и.], 2021.

Selected Contributions to the 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021) ...

Added: January 8, 2022

The 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021). Kolomna

[б.и.], 2021.

Added: November 10, 2021

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

P.: Atlantis Press, 2019.

Added: September 25, 2019

Atlantis Studies in Uncertainty Modelling, Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

Atlantis Press, 2019.

The 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), will take place in Prague, the capital of the Czech Republic on September 9-13, 2019. The main organizer of the conference is the Institute for Research and Applications of Fuzzy Modeling (IRAFM), University of Ostrava and the Czech Institute of Informatics, ...

Added: August 21, 2019

Методы и инструменты интеллектуального анализа данных в цифровой логистике и управлении цепями поставок Methods and Tools of Intelligent Data Analysis for Digital Logistics and Supply Chain Management

Serova E., Lukinskiy V., Логистика и управление цепями поставок 2018 № 4(87) С. 73–80

Success of any logistics enterprise in the context of digital economy progress directly depends on regular and effective innovations to the area of improving analytical applications and information systems in such actively developing fields of knowledge as strategic management, distribution networks development, and supply chain management. In an effort to ensure a sustainable economic circumstance ...

Added: September 27, 2018

Intelligent Models and Systems in Spatial Marketing Research

Serova E., Krichevsky M., The Electronic Journal Information Systems Evaluation 2015 Vol. 18 No. 2 P. 159–171

This paper deals with the issues of Russian and international researches in the field of design of sustainable information architecture of management systems in the context of spatial economics. It is theoretical and empirical research in equal measure. Research methodology is methods and procedures of modeling. The main purpose of this paper is consideration the ...

Added: December 28, 2016

Бизнес-анализ и принятие управленческих решений на основе данных и моделей. Теория, практика, инструменты

Serova E., Кричевский М. Л., СПб.: Профессиональная литература, 2016.

Основное назначение использования методов моделирования при решении задач менеджмента – обеспечение взаимопонимания на всех уровнях организации, преодоление разрыва между стратегическим видением и его реализацией на практике. Моделирование рассматривается сегодня как обязательный этап в принятии ответственных управленческих решений в компаниях, активно использующих в своей деятельности современные информационно коммуникационные технологии. Эти компании привлекают в помощь менеджерам системы, ...

Added: October 28, 2016

Dynamic Analysis of the Development of Scientific Communities in the Field of Soft Computing

Kutynina E., Lepskiy A., , in: Advances in Intelligent Systems and ComputingVol. 456: Soft Methods for Data Science.: Springer, 2017. P. 293–302.

This paper is dedicated to the research of the dynamics of development and interactions among several scientific communities in the field of fuzzy logic and soft computing. This analysis was performed with the help of the following characteristics: conferences participants’ renewal, the level of cooperation in scientific communities, participation of one community’s key players in ...

Added: September 28, 2016

SCAKD 2016 – The Second International Workshop on Soft Computing Applications and Knowledge Discovery. Proceedings of the Second International Workshop on Soft Computing Applications and Knowledge Discovery. July 18, 2016

CEUR Workshop Proceedings, 2016.

This volume contains the papers presented at the Second International Workshop on Soft Computing Applications and Knowledge Discovery (SCAKD 2016) held on July 18, 2016 at the National Research University Higher School of Economics, Moscow, Russia. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to ...

Added: September 28, 2016

Advances in Intelligent Systems and Computing

Switzerland: Springer, 2015.

The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent ...

Added: February 28, 2016